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mri
843 studies tagged mri, dated 1983-08-01 to 2026-09-25. Bibliography: BibTeX (.bib) · RIS (.ris)
Newest in this topic
- Diagnostic accuracy of remote self-administered digital cognitive assessment by clinical diagnosis and Alzheimer's disease PET imaging biomarkers 2026-09-25
- Multi-scale 3D CNN with imbalance-aware training for structural MRI-based six-class Alzheimer disease staging 2026-09-22
- T1 mapping in Alzheimer’s disease: a quantitative MRI study with amyloid-PET correlation 2026-09-21
Studies
843 studies carry this tag.
Date range
1983 to 2026
Top journals
- Neurology 83
- Journal of nuclear medicine : official publication, Society of Nuclear Medicine 42
- Brain : a journal of neurology 34
- NeuroImage 31
- Alzheimer s & Dementia 30
283 journals in all.
Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.
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White matter structural connectivity was lower in autosomal dominant Alzheimer disease mutation carriers compared with noncarriers and correlated with estimated years to symptom onset.
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Forty-one participants (30 male, 11 female) with a mean (SD) age at death of 75.7 (10.6) years were included.
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Amyloid accumulation was evaluated in 236 individuals who underwent >1 amyloid PET scan.
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Dementia is the clinical syndrome characterized by progressive loss of cognitive and emotional abilities to a degree severe enough to interfere with daily functioning.
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Clinicians reported high diagnostic confidence in 83% of 18 F-FDG PET compared to 67% for CBF-SPECT (P = 0.001).
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Identifying individuals at risk for progression of AD dementia could potentially help to personalize disease management to plan future care.
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The findings suggest that GPS driving may serve as an effective and accurate digital biomarker for identifying preclinical AD among older adults.
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Neuropsychiatric symptoms (NPSs) are common in patients with Alzheimer's disease (AD) and are associated with accelerated cognitive impairment and earlier deaths.
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This work validates the generalizability of MRI-based classification of Alzheimer's disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive impairment (MCI).
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This fifteen-year study provides a large database of highly characterized individuals with longitudinal cognitive, imaging and lifestyle data and biofluid collections, to aid in the development of interventions to delay onset, prevent or treat AD.
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Cortical thickness from MRI helped predict conversion from mild cognitive impairment to dementia in Parkinson disease at an individual level, with improved performance when integrated with clinical variables. © RSNA, 2021 Online supplemental material is available for this article.
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Intensive treatment was associated with a small but statistically significant greater decrease in hippocampal volume compared with standard treatment, consistent with the observation that intensive treatment is associated with greater decreases in total brain volume.
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The Electrophysiology Professional Interest Area (EPIA) and Global Brain Consortium endorsed recommendations on candidate electroencephalography (EEG) measures for Alzheimer's disease (AD) clinical trials.
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We found 129 articles that applied transfer learning to MR brain imaging tasks.
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PET of β-Amyloid plaques (Aβ) using [ 18 F ] florbetaben ( [ 18 F ] FBB) and [ 18 F ] fluorodeoxyglucose ( [ 18 F ] FDG) increasingly aid clinicians in early diagnosis of dementia, including Alzheimer's disease (AD), frontotemporal disease, dementia with Lewy bodies, and vascular dementia.
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Reduced hippocampal volume is a biomarker for neurodegeneration, but atrophy is not an AD-specific measure.
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Previous research has described distinct subtypes of Alzheimer's disease (AD) based on the differences in regional patterns of brain atrophy on MRI.
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Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of dementia with a great prevalence in western countries.
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This study aimed to use peripheral plasma d-glutamate levels to differentiate patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) from healthy individuals and to evaluate its prediction ability using machine learning.
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The data set included 18 178 patients, of which 10 991 (60.5%) had MCI and 7187 (39.5%) had dementia (mean [SD] age, 75.8 [6.3] years; 9333 women [51.3%]).
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As a result, physicians struggle to interpret these models, and feel it is hard to trust them.
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Frontotemporal dementia (FTD) and Alzheimer's disease (AD) have overlapping symptoms, and accurate differential diagnosis is important for targeted intervention and treatment.
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Mild cognitive impairment (MCI) detection using magnetic resonance image (MRI), plays a crucial role in the treatment of dementia disease at an early stage.
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The differential diagnosis of frontotemporal dementia (FTD) and Alzheimer's disease (AD) is difficult due to the overlaps of clinical symptoms.
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Alzheimer's disease is the leading cause of dementia.
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Our findings lend support to a model in which fibrillar Aβ is still accumulating in the early stages of clinical disease but approaching a relative plateau, a point at which Aβ may uncouple from neurodegenerative processes including synaptic loss.
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49/100
Alzheimer's Disease (AD), one of the main causes of death in elderly people, is characterized by Mild Cognitive Impairment (MCI) at prodromal stage.
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Compared with participants who learned that they had a not elevated amyloid result, individuals who learned of an elevated amyloid result were no more likely to experience short-term increases in depression (mean [SD] change in the Geriatric Depression Scale score, 0.02 [1.3] vs 0.04 [1.3]; P = .90), anxiety (mean [SD] change in State-Trait Anxiety Inventory score, -0.02 [3.2] vs -0.15 [3.0]; P = .65), or suicidality (mean [SD] change in the Columbia Suicide Severity Rating Scale score, 0.0 [0.4] vs -0.01 [0.5]; P = .67).
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It accounts for a quarter of the elderly population and is associated with cognitive decline.
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46/100
Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle, environment and disease.
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These optimized thresholds can help to inform future research and clinical trials targeting early Aβ.
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Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings.
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The projected burden of dementia by Alzheimer's disease (AD) represents a looming healthcare crisis as the population of most countries grows older.
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The dynamics of the resting brain exhibit transitions between a small number of discrete networks, each remaining stable for tens to hundreds of milliseconds.
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62/100
Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer's disease (AD) continuum.
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Easily accessible biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD), and related neurodegenerative disorders are urgently needed in an aging society to assist early-stage diagnoses.
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Four subphenotypes were computationally derived that correlated with cardiovascular diseases and mental health illnesses.
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Braak stages of tau neurofibrillary tangle accumulation have been incorporated in the criteria for the neuropathological diagnosis of Alzheimer's disease.
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Early identification of individuals at risk of developing Alzheimer's disease (AD) dementia is important for developing disease-modifying therapies.
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We observed good convergence among the 4 Good convergence was obtained among several methods for determining an optimal cutoff for 18 F-AZD4694 PET positivity.
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SUVr abnormality was most frequently observed in cingulate, followed by orbitofrontal, precuneal, and insular cortices and then the associative, temporal, and occipital regions.
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In vitro binding assays demonstrated a high binding affinity of 18 F-SMBT-1 to MAO-B (dissociation constant, 3.7 nM).
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Pattern expression strengths predicted amyloid status with a sensitivity of 0.94 and a specificity of 0.83.
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Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate prediction of the disease onset, ideally predating the onset of cognitive deterioration.
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This study's findings suggest that PET imaging with [18F]flortaucipir could be used to identify the density and distribution of AD-type tau pathology and the presence of high levels of AD neuropathological change, supporting a neuropathological diagnosis of AD.
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60/100
Iron concentration in the deep gray matter and neocortical regions was higher in patients with Alzheimer disease than in healthy control participants.
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Groups were comparable on clinical and cognitive measures.
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Our work shows that peripheral differential methylation between age-matched subjects with AD relative to healthy controls will provide opportunities to further investigate and validate differential methylation as a surrogate of disease.
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Among dementia-like diseases, Alzheimer disease (AD) and vascular dementia (VD) are two of the most frequent.
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Precision medicine for Alzheimer's disease (AD) necessitates the development of personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite remarkable advances, few such biomarkers are available.
From across this tag
10 of the 839 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
- SPECT and PET imaging in Alzheimer's disease
- Amyloid and FDG-PET study of logopenic primary progressive aphasia: evidence for the existence of two subtypes
- Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia From Electroencephalography Signals
- Discriminative Plasma Lipidomic Signatures of Dementia with Lewy Bodies and Alzheimer’s Disease: A Targeted Mass Spectrometry and Machine Learning Approach
- Diffusion tensor imaging in preclinical and presymptomatic carriers of familial Alzheimer's disease mutations
- MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study
- Utilizing semantic intrusions to identify amyloid positivity in mild cognitive impairment
- Amyloid-Related Imaging Abnormalities (ARIA) in Anti-Amyloid Therapies for Alzheimer's Disease: An Update from the Alzheimer's Association ARIA Workgroup
- Amyloid PET Ligands for Dementia
- Deep Brain Stimulation Influences Brain Structure in Alzheimer's Disease